Evidence map›Paper›PMID 39369060›Full record

ArticleMetabolomics : Official journal of the Metabolomic Society2024

Exploring the circulating metabolome of sepsis: metabolomic and lipidomic profiles sampled in the ambulance.

Samira Salihovic, Daniel Eklund, Robert Kruse, Ulrika Wallgren, Tuulia Hyötyläinen, Eva Särndahl, Lisa Kurland

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Article in Metabolomics : Official journal of the Metabolomic Society, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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0cells of the map it votes in
4citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Samira SalihovicSchool of Medical Sciences, Faculty of Medicine and Health, Örebro University, Örebro, Sweden.
Daniel EklundSchool of Medical Sciences, Faculty of Medicine and Health, Örebro University, Örebro, Sweden.
Robert KruseInflammatory Response and Infection Susceptibility Centre (iRiSC), Örebro University, 701 82, Örebro, Sweden.
Ulrika WallgrenDepartment of Clinical Science and Education, Karolinska Institutet, Stockholm, Sweden.
Tuulia HyötyläinenSchool of Science and Technology, Örebro University, Örebro, Sweden.
Eva SärndahlSchool of Medical Sciences, Faculty of Medicine and Health, Örebro University, Örebro, Sweden.
Lisa KurlandSchool of Medical Sciences, Faculty of Medicine and Health, Örebro University, Örebro, Sweden. lisa.kurland@oru.se.ORCID http://orcid.org/0000-0003-3290-4111

Funding

Knowledge Foundation 2018-0133Knowledge Foundation 2020-0257Knowledge Foundation, Sweden 2016-0044Region Örebro län OLL-986200
6 · The paper itself

Abstract

backgroundSepsis is defined as a dysfunctional host response to infection. The diverse clinical presentations of sepsis pose diagnostic challenges and there is a demand for enhanced diagnostic markers for sepsis as well as an understanding of the underlying pathological mechanisms involved in sepsis. From this perspective, metabolomics has emerged as a potentially valuable tool for aiding in the early identification of sepsis that could highlight key metabolic pathways and underlying pathological mechanisms.

objectiveThe aim of this investigation is to explore the early metabolomic and lipidomic profiles in a prospective cohort where plasma samples (n = 138) were obtained during ambulance transport among patients with infection according to clinical judgement who subsequently developed sepsis, patients who developed non-septic infection, and symptomatic controls without an infection.

methodsMultiplatform metabolomics and lipidomics were performed using UHPLC-MS/MS and UHPLC-QTOFMS. Uni- and multivariable analysis were used to identify metabolite profiles in sepsis vs symptomatic control and sepsis vs non-septic infection.

resultsUnivariable analysis disclosed that out of the 457 annotated metabolites measured across three different platforms, 23 polar, 27 semipolar metabolites and 133 molecular lipids exhibited significant differences between patients who developed sepsis and symptomatic controls following correction for multiple testing. Furthermore, 84 metabolites remained significantly different between sepsis and symptomatic controls following adjustment for age, sex, and Charlson comorbidity score. Notably, no significant differences were identified in metabolites levels when comparing patients with sepsis and non-septic infection in univariable and multivariable analyses.

conclusionOverall, we found that the metabolome, including the lipidome, was decreased in patients experiencing infection and sepsis, with no significant differences between the two conditions. This finding indicates that the observed metabolic profiles are shared between both infection and sepsis, rather than being exclusive to sepsis alone.

Indexed as

LipidomicsMetabolomeMetabolomicsSepsisAdultAgedAmbulancesBiomarkersChromatography, High Pressure LiquidFemaleHumansLipidsMaleMiddle AgedProspective StudiesTandem Mass SpectrometryBiomarkersLipidsAmbulanceInfectionLipidomicsMetabolomicsPlasmaSepsis

Identifiers

PMID39369060
PMCPMC11455889

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.